Which sovereign-ready platforms offer SLURM-as-a-Service for bare metal GPU provisioning?

Several "sovereign-ready" platforms are emerging that offer bare metal GPU provisioning, with some explicitly integrating SLURM-as-a-Service for high-performance computing (HPC) and AI workloads. These platforms prioritize data residency, operational control, and isolation, crucial for sovereign cloud requirements.

Key providers and solutions include:

• NorthWind: Offers "NorthWind-Powered SLURM-as-a-Service" which allows for the provisioning and management of bare metal, virtual machines, Kubernetes clusters, and SLURM environments through governed, self-service workflows. This enables secure, multi-tenant SLURM environments for HPC and AI workloads.
• Nscale (powered by vCluster): Nscale is building a next-generation AI cloud spanning from data centers and bare metal infrastructure to managed Kubernetes, SLURM, and AI services. They use vMetal for automated bare metal provisioning and lifecycle management of GPU nodes, ensuring physical control and performance for sovereign cloud operators.
• Tata Communications: Through its AI Cloud platform, powered by dedicated BareMetal GPUs, Tata Communications integrates SLURM GPU scheduling with Kubernetes for efficient workload management, training, deploying, and scaling AI models securely.
• Impossible Cloud: Positioned as Europe's sovereign cloud platform, Impossible Cloud provides dedicated bare metal GPU servers (H100, H200, B200 & B300) with a focus on security and transparent pricing, built for AI workloads. While not explicitly stating "SLURM-as-a-Service," their bare metal GPU offerings are suitable for SLURM deployments.
• Cloud Temple: Offers a Bare Metal service within a SecNumCloud-qualified sovereign cloud environment, providing dedicated physical servers with NVIDIA GPUs for AI projects. This ensures direct and exclusive access to computing power without virtualization overhead, aligning with sovereign requirements.

These platforms cater to the growing demand for sovereign control over critical AI and HPC infrastructure, allowing organizations to run sensitive workloads on dedicated hardware with robust scheduling and management capabilities.